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Mentors and Regional Facilitators
Name Region Skills Interests
Adrian Del Maestro Northeast
Brian Gregor Northeast, Campus Champions
Ben Lynch Campus Champions
Brian Haymore RMACC, Campus Champions
Charles Forsyth Campus Champions
Chris Carothers CAREERS
Christopher Bl… Campus Champions
Cody Stevens Campus Champions
Edwin Posada Campus Champions
Gaurav Khanna Campus Champions, CAREERS, Northeast
Gil Speyer ACCESS CSSN, RMACC, Campus Champions
Jeff Dusenberry Northeast, Campus Champions
Jeff Falgout Campus Champions, RMACC
Jordan Hayes Campus Champions
Jason Wells ACCESS CSSN, Campus Champions
Katia Bulekova ACCESS CSSN, Campus Champions, CAREERS, Northeast
Matthew Moseley Kentucky
Paul Rulis Campus Champions
Rebecca Belshe Campus Champions, CCMNet
Ron Rahaman Campus Champions
Grant Scott Great Plains
Shawn Doughty Campus Champions, Northeast
Xiaoqin Huang ACCESS CSSN
Shaohao Chen Northeast
Steven Kuhlo TRECIS
Sumit Saluja Campus Champions
Shawn Sivy Campus Champions, CAREERS
Tyler Burkett Kentucky
Thomas Cheatham Campus Champions, RMACC
Trey Breckenridge Campus Champions
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Affinity Groups

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Jetstream-2 Jetstream2 is a transformative update to the NSF’s science and engineering cloud infrastructure and provides 8 petaFLOPS of supercomputing power to simplify data analysis, boost discovery, and… Login to join
DELTA DELTA is a dedicated, ACCESS-allocated resource designed by HPE and NCSA, delivering a highly capable GPU-focused compute environment for GPU and CPU workloads. Besides offering a mix of standard and… Login to join
AI Institutes Cyberinfrastructure Gathering place for AI researchers to find curated information about using ACCESS resources for AI applications and research. Login to join

Topics from Ask.CI

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Engagements

GPU-accelerated Ice Sheet Flow Modeling
University of North Dakota

Sea levels are rising (3.7 mm/year and increasing!)! The primary contributor to rising sea levels is enhanced polar ice discharge due to climate change. However, their dynamic response to climate change remains a fundamental uncertainty in future projections. Computational cost limits the simulation time on which models can run to narrow the uncertainty in future sea level rise predictions. The project's overarching goal is to leverage GPU hardware capabilities to significantly alleviate the computational cost and narrow the uncertainty in future sea level rise predictions. Solving time-independent stress balance equations to predict ice velocity or flow is the most computationally expensive part of ice-sheet simulations in terms of computer memory and execution time. The PI developed a preliminary ice-sheet flow GPU implementation for real-world glaciers. This project aims to investigate the GPU implementation further, identify bottlenecks and implement changes to justify it in the price to performance metrics to a "standard" CPU implementation. In addition, develop a performance portable hardware (or architecture) agnostic implementation.

Status: Finishing Up

People with Expertise

Jack Boynton

University of Vermont

Programs

Northeast

Roles

student-facilitator, researcher/educator

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Expertise

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Jeff Falgout

United States Geological Survey

Programs

Campus Champions, RMACC

Roles

research computing facilitator, ci systems engineer

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Expertise

Jeff Dusenberry

University of Massachusetts Boston

Programs

Northeast, Campus Champions

Roles

mentor, research computing facilitator

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Expertise

People with Interest

Dung Vu

California State University-San Bernardino

Programs

ACCESS CSSN, Campus Champions

Roles

research computing facilitator, CIP

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Interests

Matthew Chung

University of California Riverside

Programs

Campus Champions

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Interests

Morgan Newton

Santa Monica College

Programs

ACCESS CSSN

Roles

student-facilitator

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Interests